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Quick validation

After completing environment setup, use the AXCL axcl_run_model tool with a precompiled YOLOv8s triple-core model to confirm that the Radxa AICore AX-M1 NPU is working.

This flow downloads only about 11 MB of model data. You do not need a Python virtual environment, and you do not need to compile sample programs.

tip

For detailed device information, see AXCL-SMI tool usage. For object-detection samples with post-processing, compile AXCL-Samples first, then see Vision models.

Confirm the device is online

Host
axcl-smi
+------------------------------------------------------------------------------------------------+
| AXCL-SMI V3.6.5_20250908154509 Driver V3.6.5_20250908154509 |
+-----------------------------------------+--------------+---------------------------------------+
| Card Name Firmware | Bus-Id | Memory-Usage |
| Fan Temp Pwr:Usage/Cap | CPU NPU | CMM-Usage |
|=========================================+==============+=======================================|
| 0 AX650N V3.6.5 | 0001:11:00.0 | 149 MiB / 945 MiB |
| -- 79C -- / -- | 1% 0% | 18 MiB / 7040 MiB |
+-----------------------------------------+--------------+---------------------------------------+

+------------------------------------------------------------------------------------------------+
| Processes: |
| Card PID Process Name NPU Memory Usage |
|================================================================================================|

The device name should be AX650N, and the firmware and driver versions should be present. Temperature and memory usage vary with load.

tip

If axcl-smi or axcl_run_model is not found, run export PATH=$PATH:/usr/bin/axcl, or open a new login terminal.

Download a precompiled model

The Radxa AICore AX-M1 uses AX650N, so download the triple-core (npu3) model from AXERA-TECH/YOLOv8:

Host
wget -O yolov8s_640x640_npu3.axmodel https://huggingface.co/AXERA-TECH/YOLOv8/resolve/main/AX650/yolov8s_640x640_npu3.axmodel

Run the benchmark

axcl_run_model runs the specified model on the device repeatedly and prints latency statistics.

Host
axcl_run_model --model yolov8s_640x640_npu3.axmodel -r 100
   Run AxModel:
model: yolov8s_640x640_npu3.axmodel
type: 3 Core
vnpu: Disable
warmup: 1
repeat: 100
batch: { auto: 1 }
axclrt ver: 1.0.0
pulsar2 ver: 6.0-dirty a498e20d-dirty
tool ver: 0.0.1
cmm size: 11857538 Bytes
---------------------------------------------------------------------------
min = 3.815 ms max = 4.759 ms avg = 4.406 ms median = 4.449 ms
5% = 4.048 ms 90% = 4.648 ms 95% = 4.672 ms 99% = 4.759 ms
---------------------------------------------------------------------------

A successful run shows type: 3 Core. The avg time is about 4 ms; the exact value varies with host PCIe performance and SoC temperature.

Next steps

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